15:[[34052201,{"by":"Deutscher","descendants":726,"id":34052201,"kids":[34052537,34053125,34052580,34053181,34053580,34054103,34053331,34053712,34052985,34056764,34054730,34053621,34055575,34052830,34053243,34052599,34055719,34054841,34052547,34053419,34052898,34053902,34053049,34054116,34052639,34052837,34052953,34053365,34052867,34053299,34052586,34053491,34054117,34052753,34053232,34052826,34053398,34053325,34052617,34053271,34053198,34053559,34052806,34053197,34058202,34052730,34053623,34052724,34053656,34052335,34052844,34052874,34053121,34052693,34053093,34054787,34052583,34052569,34053597,34053603,34054503,34053408,34054043,34053853,34053412,34053667,34053567,34052912,34056919,34053370,34052715,34053979,34053794,34054243,34053007,34054572,34052755,34052793,34052849,34059925,34052607,34052645,34055204,34053100,34055505,34053162,34053681,34056721,34053875,34052776,34053493,34062150,34052811,34056273,34052870,34052773,34057998,34054942,34052565,34054930,34058002,34053110,34056195,34063244,34052675,34057419,34053166,34056870,34054153,34058466,34053812,34053946,34054158,34056049,34056039,34056617,34061404,34054209,34056280,34052595,34053745,34058254,34054508,34110616,34055604,34053692,34054328,34053965,34059837,34053833,34123289,34052673,34055423,34053133,34054397,34054641,34053655,34052975,34057831,34052629,34053714,34053673,34061616,34055930,34052873,34052845,34052913,34054811,34057760,34074490,34054564,34055983,34054314,34053395,34054360,34052637,34052921,34054272,34074621,34056905,34055202,34054816,34052809,34058331,34054865,34053937,34055820,34062580,34052785,34055555,34053473,34074270,34053319,34053248,34054908,34054509,34062449,34065619,34054232,34055857,34058231,34054716,34054543,34052736,34068950,34054848,34058175,34053069,34079725,34055840,34053208,34058400,34052909,34054206,34053953,34054649,34052782,34052999,34057661,34053043,34057428,34053137,34054035,34053846,34054236,34055282,34055765,34054498,34055939,34053075,34052650,34073718,34052752,34055068,34056073,34056945,34054597,34055631,34053494,34057795,34058555,34063201,34053734,34054695,34053780,34052762,34055189,34054493,34052860,34053682,34052937,34054290,34062644,34054184,34052827,34052950,34053880,34053151,34053617,34054660,34056276,34055945,34058654,34057174,34062699,34056129,34054112,34057595,34054432,34057793,34053557,34056838,34053581,34075417,34060462,34054650,34053832,34060641,34056664,34054261,34054245,34053240,34062770,34053431,34058103,34052989,34054111,34053726,34052766,34062819,34058298,34061928,34054854,34056493,34053235,34057988,34052601,34053052,34053261,34058420,34055552,34053730,34053180,34055607,34052663,34054829,34052816,34061957,34054755,34055028,34058239,34053964,34053426,34054465,34052818,34063636,34055801,34053378,34057079,34055196,34052763,34053289,34052638,34054936,34053312,34053855,34052983,34059943,34053611,34052888,34054123,34053097,34055622,34053728,34060585,34054561,34056961,34060553,34053876,34077568,34053111,34053410,34052671,34054047,34056689,34054404,34053989,34053742,34054182,34053438,34054712,34062290,34054547,34053994,34055011,34052562,34054734,34053340,34055419,34054255,34087251,34057766,34053820,34053117,34064332,34059340,34055047,34054275,34053454,34053212,34053156,34059254,34053514,34062119,34059867,34058520,34057027,34053736,34052732,34053616,34055039,34055800,34053935,34052678,34053440,34052992,34056215,34054759,34053389,34055286,34065189,34052944,34055360,34060647,34054935,34052739,34054193,34053801,34053360],"score":1127,"text":"$16","time":1671459083,"title":"Ask HN: Has anyone here turned around their life in their 40s?","type":"story"}],[33932594,{"by":"quibono","descendants":140,"id":33932594,"kids":[33936148,33933331,33933873,33933117,33933308,33933508,33935014,33933023,33933565,33933087,33933385,33933120,33933869,33934276,33935158,33937140,33933438,33933987,33933680,33943773,33934163,33933341,33933831,33990949,33934082,33933821,33934112,33934015,33943673,33934354,33935933,33935231,33935800,33935632],"score":266,"text":"I was involved in machine learning and AI a few years ago, mainly before the onset of the new diffusion models, large transformers (GPT*), Graph NNs and Neural ODE stuff.

I am comfortable with autograd/computation graphs, PyTorch, "classic" neural nets and ones used for vision-type applications, as well as the basics of Transformer networks (I've trained a few smaller ones myself) and RNNs.

Do you know of any good resources to slowly get back into the loop?

So far I plan on reading through the original Diffusion/GPT papers and start going from there but I'd love to see what you think are some good sources. I would especially love to see some Jupyter notebooks to fiddle with as I find I learn best when I get to play around with the code.

Thank you","time":1670680292,"title":"Ask HN: How to get back into AI?","type":"story"}],[33636281,{"by":"dev_0","descendants":9,"id":33636281,"kids":[33636332,33636863,33636555,33636547,33641180,33637245,33637120,33641108,33724119,33657443],"score":4,"text":"Is it more prestigious to work in Western countries than India?","time":1668673443,"title":"Ask HN: Why so many Indians work in US/Australia instead of India?","type":"story"}],[33368975,{"by":"_448","descendants":0,"id":33368975,"kids":[33369107],"score":4,"text":"I am a software engineer and don't have experience with developing hardware projects. I have an idea for tablet and mobile device that will be environmentally friendly and free of bloat and attention seeking apps.

The hardware idea I have is not new. It was suggested earlier by hardware industry but it was not picked up by the ODMs for lack of excessive profits.

This idea reduces the hardware consumption by consumers that they have to do now i.e. frequent upgrade s.

If I have an idea for a project to build devices to reduce hardware waste and improve the situation on the software front at the same time, then where do I start? Where do I meet like-minded people with whom I can work to make this dream a reality?","time":1666945833,"title":"Ask HN: How does a software engineer bring to life a hardware project dream?","type":"story"}],[32821955,{"by":"pvsukale3","descendants":41,"id":32821955,"kids":[32823812,32824492,32823513,32824506,32826513,32826124,32823580,32824966,32832586,32832063,32826581,32828172],"score":80,"time":1663058609,"title":"Why peer to peer digital payment system UPI should remain free in India","type":"story","url":"https://www.capitalmind.in/2022/09/why-upi-should-be-free/"}],[32756280,{"by":"samizdis","descendants":238,"id":32756280,"kids":[32761570,32756514,32758454,32757150,32757481,32758448,32757469,32758420,32757751,32758833,32760678,32757528,32757482,32758781,32756890,32760917,32759405,32759190,32761493,32759066,32757210,32757325,32759828,32758774,32759665,32761013,32760326,32757141,32757393,32757464,32757131,32758437,32759280,32763574,32763479,32757311,32760801,32758806,32763797,32759939,32760682,32760069,32761691,32757350,32759214,32759161,32761121,32760770,32757108,32759880,32756773,32758944,32759058,32758739,32764548,32762959],"score":92,"time":1662582230,"title":"Why companies are interested in Myers-Briggs types","type":"story","url":"https://daily.jstor.org/why-companies-are-so-interested-in-your-myers-briggs-type/"}],[32716770,{"by":"pyrodactyl","descendants":371,"id":32716770,"kids":[32717136,32717250,32718711,32718612,32718847,32717307,32717152,32719220,32717063,32718800,32719357,32716941,32718924,32720570,32719197,32718619,32719086,32717361,32722739,32718721,32719337,32719779,32718831,32721065,32720348,32718883,32717195,32720869,32725065,32718811,32722105,32717242,32717578,32721035,32726388,32723447,32719881,32717244,32726553,32717353,32719157,32725132,32718935,32725985,32720383,32718808,32722126,32717620,32721606,32719294,32720002,32716793,32720781,32719261,32737643,32717345,32719650,32718864,32719841,32717893,32722631,32722503,32720927,32717279,32720490,32720438,32726947,32719224,32719808,32716987,32720483,32722431,32719347,32721533,32720689,32717360,32718694,32723438,32719803,32718878,32717282,32717153,32719682,32721838,32722359,32734276,32718729,32721516,32834264,32719506,32719759,32720242,32722227,32723918,32722035,32717324,32720335,32718741,32720345,32721966,32721126,32716869,32718680,32720039,32721927,32733915],"score":255,"text":"$17","time":1662319615,"title":"Ask HN: Location based pay is killing my motivation, how do others handle it?","type":"story"}],[32628913,{"by":"grej","descendants":75,"id":32628913,"kids":[32636798,32658626,32657350,32661903,32656845,32659918,32661618,32658023,32657761,32659294],"score":148,"time":1661698863,"title":"In the battle over the right to repair, open-source tractors offer alternatives","type":"story","url":"https://civileats.com/2022/04/27/right-to-repair-open-source-tractors-john-deere-oggun-farms-profitability-technology/"}],[32425308,{"by":"frb","descendants":253,"id":32425308,"kids":[32425913,32425715,32425686,32425607,32426862,32426444,32426113,32426081,32425717,32425846,32426393,32425904,32426026,32426186,32427132,32426258,32426912,32425843,32427484,32427422,32426484,32426188,32427741,32439234,32427163,32426135,32469846,32426090,32427247,32425762,32425934,32425597,32425917,32425752,32425775,32426355,32436392,32431909,32425667,32425543,32425664,32425476,32426316,32426150,32426742,32425464],"score":212,"time":1660224795,"title":"Google’s caste-bias problem","type":"story","url":"https://www.newyorker.com/news/q-and-a/googles-caste-bias-problem"}],[32317597,{"by":"mhrnik","descendants":0,"id":32317597,"kids":[32356692,32320593],"score":1,"text":"I got self-doubt that am I doing right by making https://pipgig.com

Quick story:

I am from India and my wife is a beginner and trying to sell her digital arts online. (helinaik.com)

I asked her to use gumroad because I like it. After some time they just update their pricing and started charging 9% which I thought is more. So I thought of making a platform where a creator can make most of their earning.

I like making things so I made MVP quickly but now as we are approaching marketing I Got this question "Am I a copycat?"

Do share your thoughts. \nTIA","time":1659442695,"title":"Ask HN: Am I a Copycat?","type":"story"}]]

user:	naruvimama
created:	June 1, 2013
karma:	260